Ximilar

Automate image tagging, visual search, and object detection with a no-code computer vision platform designed for e-commerce, collectibles, and medical industries.

Freemium image processing

Free plan available

€59/mo

About Ximilar

Ximilar is a comprehensive visual AI platform that offers both ready-to-use and custom solutions for image recognition, visual search, and enhancement. It operates as a SaaS model, providing businesses with a no-code interface to build, test, and deploy computer vision models. The platform is designed to automate manual image processing tasks, such as tagging thousands of products or identifying specific objects within complex visual data. By combining original academic research with a robust cloud infrastructure, it enables companies to integrate sophisticated AI capabilities via a REST API without requiring deep internal machine learning expertise. The platform's core functionality is divided into several specialized modules. Users can leverage pre-trained models for industries like fashion, home decor, and collectibles, which can automatically detect items, generate tags, and provide similarity recommendations. For more unique requirements, the Computer Vision Platform allows for custom image classification, regression, and object detection. A standout feature is the Flows system, which enables users to chain multiple AI models into a modular sequence. For instance, a flow might first detect an object, then crop the image, and finally classify the specific attributes of that object, all within a single API call. This tool is primarily geared toward businesses in e-commerce, stock photography, real estate, and specialized fields like collectibles (sports and TCG cards) and medtech. Developers can use the REST API and Python/PHP clients to integrate features into their own apps, while non-technical managers can use the App interface for data annotation and model training. It serves a global clientele ranging from startups to large enterprises that need to handle millions of images efficiently. What sets Ximilar apart is its focus on specific niche markets, particularly the collectibles and fashion sectors, where it provides highly specialized tools like card grading and automated product descriptions. The platform emphasizes data sovereignty, ensuring that users retain intellectual property rights to the models they train and that processed images are not stored on Ximilar's servers. Additionally, its modular Flow structure provides a level of flexibility rarely seen in standard off-the-shelf AI tools, allowing for highly specific multi-step workflows.

Ximilar pros & cons

Pros

Users retain 100% intellectual property rights over any custom models they train.
The modular Flows system allows for highly flexible and complex multi-model workflows.
Provides specialized, highly accurate models for the fashion and collectibles industries.
Maintains strict GDPR compliance with training data stored on secure EU-based servers.
A free-forever plan is available for individuals and small teams to test the platform.

Cons

The credit-based pricing model can be difficult to predict for complex multi-stage operations.
The Free tier is limited to a single collection with a maximum of 1,000 images.
Priority support and regular consultations are limited to the most expensive pricing plans.
Integration for large-scale enterprise infrastructure may require custom-quoted pricing.

Ximilar use cases

E-commerce managers can automate the tagging and description of thousands of fashion items to improve SEO and searchability.
Collectible dealers can use the card identification and grading tools to automate the intake and valuation of high-volume trading card inventories.
Stock photo platforms can implement visual search and similarity engines to help customers find images based on visual traits rather than just keywords.
Real estate tech companies can use image classifiers to automatically categorize property photos into rooms like kitchens, bathrooms, or gardens.
Medical research teams can develop custom computer vision models to identify specific patterns or anomalies in X-ray and microscopy imagery.

Ximilar features

rest api and sdk support
modular ai flows
custom model training and deployment
image upscaling and enhancement
object detection and localization
automated fashion and home decor tagging
visual search and similarity
no-code computer vision platform

Ximilar pricing

Is Ximilar free? Yes, Ximilar has a free plan, and paid plans start at €59 / month.

Free

1,000 API credits monthly
1 Collection
1,000 Collection size
3 Similarity tasks
3 Recognition tasks
1 Flow
Limited e-mail support

Business 100K

€59 / month

100,000 API credits monthly
3 Collections
100,000 Collection size
3 Similarity tasks
10 Recognition tasks
3 Flows
Standard support
One consultation with ML expert

Professional 1M

€499 / month

1,000,000 API credits monthly
10 Collections
Unlimited collection size
3 Similarity tasks
25 Recognition tasks
20 Flows
Priority support
Regular consultations with ML expert

Ximilar FAQs

Does Ximilar store the images I process through the API?

No, the software analyses each picture in your database once without storing any of them. Training data used to build custom models is stored on secure EU servers, but transactional images processed via the API are not retained.

What is a modular Flow in the Ximilar platform?

A Flow is a system that allows you to combine ready-to-use and custom AI models into complex sequences. For example, you can create a workflow that first detects an object, crops it, and then runs a specific classifier on that item in one step.

Who owns the intellectual property of models trained on Ximilar?

You hold the intellectual rights to all the models you train on the Ximilar platform. Even though the models are built using their infrastructure, the data and resulting intelligence remain the property of your company.

How does the API credit system work?

Each API call consumes a specific number of credits based on the complexity of the operation. For example, reading image data might cost 0 credits, while tagging a single fashion product costs 15 credits and generating a product description costs 100 credits.

Can Ximilar recognize and grade sports or TCG cards?

Yes, Ximilar has specialized solutions for collectibles that can identify sports cards and TCG cards like Magic: The Gathering. It can also perform AI-based card grading, including assessing centering and overall card condition.

Ratings & reviews

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